Interest Point Detection
11 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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Latest papers with no code
Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images
Keypoint detection and matching is a fundamental task in many computer vision problems, from shape reconstruction, to structure from motion, to AR/VR applications and robotics.
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction.
EventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera
We propose a new time-surface-like event stream representation method called Tencode.
Image Feature Information Extraction for Interest Point Detection: A Review
The existing popular datasets and evaluation standards are provided and the performances for eighteen state-of-the-art approaches are evaluated and discussed.
Interest Point Detection based on Adaptive Ternary Coding
In this paper, an adaptive pixel ternary coding mechanism is proposed and a contrast invariant and noise resistant interest point detector is developed on the basis of this mechanism.
BRISKS: Binary Features for Spherical Images on a Geodesic Grid
For interest point detection, we use a variant of the Accelerated Segment Test (AST) corner detector which operates on our geodesic grid.
4d isip: 4d implicit surface interest point detection
The TSDF represents the distance between the spatial points and object surface points which is an implicit surface representation.
Quad-networks: unsupervised learning to rank for interest point detection
In this paper, we ask a fundamental question: can we learn such detectors from scratch?
Mesh Interest Point Detection Based on Geometric Measures and Sparse Refinement
Three dimensional (3D) interest point detection plays a fundamental role in 3D computer vision and graphics.
Saliency, Scale and Information: Towards a Unifying Theory
In this paper we present a definition for visual saliency grounded in information theory.